Advancing the Debate on ‘Fitness Testing’ for Children: Perhaps We’re Riding the Wrong Animal
Bibliographic record
Abstract
Assessment and evaluation are the cornerstones of the education and health fields.Assessment provides professionals with measures of educational achievement, health and functional status, and acts as an operational starting point for curricular and/or treatment planning and allows professionals to gain an understanding of the child to make informed decisions regarding education or treatment.Evaluation is woven into the fabric of North American schools, be it spelling tests, math tests, an evaluation of a child suspected of having a learning disability, or fitness testing in physical education class.There is little or no debate regarding the importance of assessment and evaluation in the cognitive domains in school (e.g., literacy and numeracy); however, assessment in physical education remains controversial.Physical and health education is mandated in most schools, just like spelling, math, science, and language arts; yet there is resistance to assessment in physical education.The purpose of this article is to further the debate surrounding fitness testing in schools.Fitness testing of school children in North America began approximately 50 years ago (19).Whether fitness testing should continue, and for what purpose, is a controversial debate that has persisted both in the scientific literature and physical education circles for decades (10,11,18,22).Rowland's (22) article "The Horse Is Dead; Let's Dismount" reignited the debate in the peer reviewed literature.He suggested that the practice of fitness testing in children should be stopped because the results are meaningless and not used appropriately.Subsequent papers have continued this discussion using the horse analogy (10,18).Cale and colleagues' article (10) "More Than 10 Years After "The Horse Is Dead . ..":Surely It Must Be Time to "Dismount"?!" agreed with Rowland's original position, citing methodological concerns, lack of evidence relating physical activity, health and fitness, and the potential that fitness testing actually does harm.Liu's (18) article titled "Youth Fitness Testing: If the "Horse" Is Not Dead, What Should We Do?" points out that the "horse is still not dead" because fitness testing in school is a common practice across North America; however, there is a movement against the practice (18).The debate continues today.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.102 | 0.236 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.007 | 0.061 |
| Scholarly communication | 0.011 | 0.037 |
| Open science | 0.008 | 0.011 |
| Research integrity | 0.061 | 0.113 |
| Insufficient payload (model declined to judge) | 0.008 | 0.003 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".